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Ulrich Mayer · Software engineering for medical imaging & industrial systems

4.2· 5 reviews
Average ratingGreat
4.2/ 5

Based on 5 reviews

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Thomas Braun
Reviews 1

The platform covers the entire workflow from importing DICOM images to final review, including advanced features like auto-windowing and deviation overlays. The three-tier automatic tagging system with global, manufacturer, and device levels offers precise control over findings. By integrating Jira workflows for automatic follow-ups and replacing scattered scripts with a maintained open-source stack, the solution effectively reduces manual effort. This comprehensive approach ensures that quality assurance processes are both rigorous and efficient for clinical teams.

Maria Kessler
Reviews 1

The move from manual spreadsheet tracking to a unified data model is a significant step forward for managing device quality and correspondence. The automatic detection of device changes before evaluation fails adds a valuable layer of reliability. However, it is worth noting that the specific licensing costs for the open-source stack are not explicitly detailed, which might require verification for budget planning purposes before full adoption.

Elena Varga
Reviews 1

The DIRPortal system presents a robust approach to technical quality assurance for mammography and ultrasound imaging. It effectively ingests reference images and dispatches them for analysis, grading results against configurable limits. The interface offers a keyboard-first review experience with necessary tools like zoom and windowing. While the transition from manual scripts to an automated pipeline is a clear improvement, the specific integration with existing third-party pre-processing tools remains a consideration. Overall, the shift from scattered MATLAB and Python scripts to a unified Spring Boot and Angular architecture provides a more maintainable and scalable foundation for ongoing image quality reviews.

Hans Gutter
Reviews 1

The platform consolidates scattered Excel lists into a single source of truth, which significantly reduces administrative overhead. DIRPortal automates the pipeline from ingestion to grading, eliminating manual copy-pasting between folders. This unattended flow saves considerable time for staff who previously tracked transmissions and device quality across multiple disparate spreadsheets. The system’s ability to handle DICOM images efficiently supports a smoother daily operation for medical imaging facilities.

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About Ulrich Mayer · Software engineering for medical imaging & industrial systems

Ulrich Mayer is a software engineer based in Vienna, Austria, who works on software for medical imaging, computer vision, and industrial systems. He has more than 17 years of experience in regulated software development and is employed as a senior developer at ImageBiopsy Lab, building AI software for musculoskeletal imaging that is CE-marked and FDA-cleared. His work covers image acquisition, data modelling, pipeline automation using tools such as Python, FastAPI, Spring Boot, and DICOM, as well as rule-based triage and on-site commissioning across multiple countries.